3.1 Shaping data using Power Query Editor
3.2 Formatting data
3.3 Transformation of data
3.4 Understanding of Data types
3.5 Data profiling for data quality check
3.6 Naming conventions & best practices to consider
3.7 Identify and create appropriate keys for joins
3.8 Working with Parameters
3.9 Merge Query
3.10 Append Query
3.11 Group by of data (aggregation of data)
3.12 Applied steps (query settings)
3.13 Duplicate & Reference tables
3.14 Transpose of data
3.15 Fill
3.16 Pivot & Un-pivot of data
3.17 Custom columns
3.18 Conditional columns
3.19 Replace data from the tables
3.20 Split columns values
3.21 Move columns and sorting of data
3.22 Detect data type, count rows & reverse rows
3.23 Promote rows as column headers
3.24 Hierarchies in Power BI
3.25 M query